Evidence map›Paper›PMID 39635120›Full record

ArticleiScience2024

Analysis of factors influencing groundwater drought in the Loess zone of China.

Yunxiao Qiu, Zimiao He, Xinxiao Yu, Guodong Jia, Yusong Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yunxiao QiuBeijing Forestry University, Key Laboratory of Soil and Water Conservation and Desertification Combating of Ministry of Education, Beijing 100083, P.R. China.
Zimiao HeNorth China University of Water Resources and Electric Power, College of Surveying and Geo-informatics, Zhengzhou 450046, P.R. China.
Xinxiao YuBeijing Forestry University, Key Laboratory of Soil and Water Conservation and Desertification Combating of Ministry of Education, Beijing 100083, P.R. China.
Guodong JiaBeijing Forestry University, Key Laboratory of Soil and Water Conservation and Desertification Combating of Ministry of Education, Beijing 100083, P.R. China.
Yusong WangInternational Centre for Bamboo and Rattan, Beijing 100102, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the characteristics and factors influencing groundwater resources is important for regional water resources management. The Gravity Recovery and Climate Experiment (GRACE)-based groundwater conditions were used to analyze the spatiotemporal characteristics of and the factors influencing groundwater storage (GWS) distribution in the Loess zone of the Yellow River Basin. The results revealed that the spatiotemporal distribution of GWS anomalies in the Loess zone of China was best explained by the first three components of the empirical orthogonal function (EOF), representing 85.6% of the total variance. The normalized difference vegetation index (NDVI) was significantly correlated with groundwater drought (

Indexed as

Earth sciencesGeologyHydrology

Identifiers

PMID39635120
PMCPMC11615186

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.